Claude Haiku 5.5 vs GPT-6.1 Sol
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 22, 2026· 222 models
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.500
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- $0.050 / $0.250
- Tool calling
- Yes
- Released
- ▲10/07/2026
- Knowledge cutoff
- 2026-06
- API id
- anthropic/claude-haiku-5.5
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- 09/29/2026
- Knowledge cutoff
- 2026-04-30
- API id
- openai/gpt-6.1-sol
Which is the better API choice: Claude Haiku 5.5 vs GPT-6.1 Sol?
- Claude Haiku 5.5: cheapest input (95% less than GPT-6.1 Sol)
- Claude Haiku 5.5: cheapest output
- GPT-6.1 Sol: largest context (1.1 M)
- Claude Haiku 5.5: the newest (10/07/2026)
- GPT-6.1 Sol: most reasoning (estimated)
- Claude Haiku 5.5: the fastest (estimated)
Claude Haiku 5.5 costs 95% less on input and 95% less on output than GPT-6.1 Sol ($0.100 / $0.500 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). Claude Haiku 5.5 and GPT-6.1 Sol offer a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Claude Haiku 5.5 you save $66.50 a month versus GPT-6.1 Sol (95% less).
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2GPT-6.1 Sol OpenAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
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Frequently asked questions
Which is the better API choice: Claude Haiku 5.5 vs GPT-6.1 Sol?
Claude Haiku 5.5 costs 95% less on input and 95% less on output than GPT-6.1 Sol ($0.100 / $0.500 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). Claude Haiku 5.5 and GPT-6.1 Sol offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Claude Haiku 5.5 and GPT-6.1 Sol?
Claude Haiku 5.5 is cheaper: $0.100 per million input tokens and $0.500 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: Claude Haiku 5.5 and GPT-6.1 Sol?
GPT-6.1 Sol accepts 1.1 M tokens of context; Claude Haiku 5.5 accepts 1 M.
Which is newer: Claude Haiku 5.5 and GPT-6.1 Sol?
Claude Haiku 5.5 was released on 10/07/2026; GPT-6.1 Sol on 09/29/2026.
What would 10,000 requests a month cost with Claude Haiku 5.5 and GPT-6.1 Sol?
With 1,500 input and 400 output tokens per request: Claude Haiku 5.5: $3.50; GPT-6.1 Sol: $70.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.